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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** Special Agents Mutual Benefit Association - **Location:** New York, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Software Documentation, Software Quality, Information Engineering, Data Governance, Data Infrastructure, Data Transformation, Data Warehousing, Database Queries, Python (Programming Language), Performance Tuning, Raw Data, Standard Sql, Salesforce.Com, SQL Stored Procedures, Data Ingestion, Microsoft Fabric, Data Analytics, Data Delivery - **Published:** September 20, 2026 - **Apply:** https://startup.jobs/lead-data-engineer-samba-tv-8820167 ## About the Role * Clear communicator: You can translate complex data concepts into language that resonates with business stakeholders * Collaborative: You work well across time zones and functions, and you make your teammates better * 5+ years of experience in data analytics or data engineering, owning pipelines from raw data collection to data delivery and reporting * Strong SQL skills, including window functions, complex joins, stored procedures, and performance tuning * Hands-on experience with Azure cloud services or equivalent (Synapse Analytics, Data Factory, Blob Storage) * Experience managing or mentoring junior analysts or engineers * Ability to communicate technical concepts clearly to non-technical stakeholders * Comfort working in a fast-paced environment with a high degree of ownership * Experience in ad tech, media intelligence, or programmatic advertising (DSPs, SSPs, audience data) * Familiarity with Salesforce as a revenue source of truth * Experience working with international teams across multiple time zones * Prior exposure to Microsoft Fabric or awareness of the Azure/Fabric roadmap #LI-BR1 ## Description You'll report directly to the Director of Business Intelligence and work closely with stakeholders across Sales, Finance, and Operations. This is a high-ownership role suited for someone who is comfortable being the subject matter expert on our data infrastructure while also thinking about how to present insights to executives., * Own and maintain our Azure-based data infrastructure, including data ingestion, transformation, and delivery * Oversee data ingestion of 100+ upstream raw data sources (Salesforce, DSPs, ad platforms) into our data warehouse * Manage our data transformation pipelines and implement best-in-class systems design - includes writing complex SQL/ Python queries, stored procedures, and pipeline logic * Implement data governance best practices and champion these across the organization * Ensure data quality, pipeline reliability, and documentation standards across the team - quality assurance is a key cornerstone of the role * Reporting & Analytics * Translate business questions from stakeholders into data models and reporting solutions * Support revenue analytics - including advertiser performance, DSP reporting, and product-level breakdowns * Own ad hoc analysis and deep-dives as needed * Cross-Team Collaboration to build and maintain a platform that serves the needs of constituents across Sales, Sales Support, Finance, Marketing and Product * Team Leadership * Manage and mentor a team of BI analysts across the globe, supporting their growth and day-to-day execution * Triage and prioritize incoming data requests alongside the Director of BI * Set and uphold standards for data governance, code quality, documentation, and project delivery * Serve as the subject matter expert for our data engineering infrastructure ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)